Hi all, I have a huge dataset of values and I have precalculated outside of R the frequency/count distribution (as for example counts returned by hist function or the output of table function). For example,
>x<-hist(c(1,2,2,2,1,3), breaks=0:3, plot=F) > x $breaks [1] 0 1 2 3 $counts [1] 2 3 1 Is there any function to calculate boxplot based on the counts? I guess I could "expand" the count vector to a values set and run boxplot but the problem is that I have a lot of data (300,000^2). Another way could be to calculate median and quartiles myself and custom draw the boxplot but seems complicated. Do you happen to know some more automated way, maybe a function in R? Many thanks for the help. Best regards, Ioannis [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.